code: def test_data_iterate_multiple_times(self):
      data = Data(self.data_source, self.tensorizers)
      batches = data.batches(Stage.TRAIN)
      data1 = list(batches)
      data2 = list(batches)
      # We should have made at least one non-empty batch
      self.assertTrue(data1)
      self.assertTrue(data2)
      _, (batch1, _) = data1[0]
      _, (batch2, _) = data2[0]
      # pytorch tensors don't have equals comparisons, so comparing the tensor
      # dicts is non-trivial, but they should also be equal
      self.assertEqual(batch1, batch2)
  
imports: import unittest
  from pytext.common.constants import RawExampleFieldName, Stage
  from pytext.data import Batcher, Data, PoolingBatcher
  from pytext.data.data import RowData
  from pytext.data.sources import RawExample
  from pytext.data.sources.data_source import SafeFileWrapper
  from pytext.data.sources.tsv import TSVDataSource
  from pytext.data.tensorizers import LabelTensorizer, TokenTensorizer
  from pytext.data.utils import pad
  from pytext.utils import precision
  from pytext.utils.test import import_tests_module
label_desc: Use image node_id 6 for calling the DataTest obj's underlying member method code with example usage: obj.test_data_iterate_multiple_times() without return types